/*
 * Encog(tm) Java Examples v3.4
 * http://www.heatonresearch.com/encog/
 * https://github.com/encog/encog-java-examples
 *
 * Copyright 2008-2017 Heaton Research, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *   
 * For more information on Heaton Research copyrights, licenses 
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package org.encog.examples.proben;

import org.encog.util.Format;

public class ProBenResultAccumulator {

	private int iterations;
	private double trainingError;
	private double validationError;
	private int count;
		
	/**
	 * @return the iterations
	 */
	public int getIterations() {
		return iterations;
	}

	/**
	 * @return the trainingError
	 */
	public double getTrainingError() {
		return trainingError;
	}

	/**
	 * @return the validationError
	 */
	public double getValidationError() {
		return validationError;
	}
	
	/**
	 * @return the count
	 */
	public int getCount() {
		return count;
	}

	public void accumulate(ProBenResult result) {
		this.iterations+=result.getIterations();
		this.trainingError+=result.getTrainingError();
		this.validationError+=result.getValidationError();
		this.count++;
	}
	
	public String toString() {
		return("Mean Iterations=" + iterations/this.count  
				+ "; Mean Training Error=" + Format.formatDouble(this.trainingError/this.count, 4) 
				+ "; Mean Validation Error=" + Format.formatDouble(this.validationError/this.count, 4));
	}
}
